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<p><strong>Irini Moustaki</strong> -  <a href="http://stats.lse.ac.uk/moustaki">http://stats.lse.ac.uk/moustaki </a> </p>
<p>London School of Economics, London, UK</p>
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<strong>T&iacute;tulo:</strong>
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<p>Recent advances in latent variable and structural equation modelling: estimation and testing</p>

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<strong>Resumo:</strong>
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<p id="resumo">Latent variable models are widely used in social sciences for measuring unobserved constructs such as intelligence, fear of crime, anxiety etc. In the last two decades, latent variable models have been extended to account for categorical responses, multidimensional latent variables, effects of explanatory variables, non-linear relationships, longitudinal data, missing values, outliers and complex survey data. At the same time, those extensions have led to complex models with many parameters in which estimation methods such as maximum likelihood is difficult if not intractable. In this talk, we review recent estimation methods, goodness-of-fit tests and measures for dealing with the complexities of the models. Applications using survey data will be used throughout the talk for illustrating the methods.</p>



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